10 citations · 54 across the 36 of their papers we have counts for
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cs.CR2022★ 1 cited
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders
Hanlin Gu, Lixin Fan, Xingxing Tang +1
This paper proposes a general spectral analysis framework that thwarts a security risk in federated Learning caused by groups of malicious Byzantine attackers or colluders, who con…
cs.CR2022★ 5 cited
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao, Wenyuan Yang, Hanlin Gu +4
Federated learning (FL) is a distributed machine learning paradigm allowing multiple clients to collaboratively train a global model without sharing their local data. However, FL e…
cs.LG2022★ 1 cited
No Free Lunch Theorem for Security and Utility in Federated Learning
Xiaojin Zhang, Hanlin Gu, Lixin Fan +2
In a federated learning scenario where multiple parties jointly learn a model from their respective data, there exist two conflicting goals for the choice of appropriate algorithms…